About the Position

We are seeking a Senior Big Data Engineer with expertise in Spark, Scala, and Java to join our team in Krakow, Poland, and contribute to our Big Data solutions.

Project Description

ACQA is built on Microsoft Azure cloud computing technology. It aims to deliver:

Scalable cost-efficient infrastructure, using cloud PaaS components.
Single core platform, open architecture, designed for change, itemised $cost metrics, automated data lineage.
Shared across Front Office, Finance and Risk, improving regulatory compliance.
One-Platform / One-Experience - fast to train, easy to operate, retaining talent.

The ACQA platform is made up of a series of components providing the next generation valuation and risk management services.

Responsibilities

Work with multiple federated teams to enable them to build Big Data solutions.
Manage the ACQA Databricks platform – provide monitoring and other tooling.
Provide best practices for runtime upgrades.

Requirements

Must Have

Development of big data technologies like Apache Spark and Azure Databricks.
Programming complex production systems in Java and Scala.
Experience in a platform engineering role on a major cloud provider (ideally Microsoft Azure).
Development and/or operations of CI/CD pipelines using modern cloud-friendly build systems like GitLab.
Experience with containerisation in development, build, and runtime environments, including experience with Kubernetes.

Nice to Have

Production experience with Terraform on a major public cloud provider (ideally Microsoft Azure).
Python experience.
Testing and instrumentation practices, observability and alerting tooling.
Understanding of information modelling, data structures and algorithms.
Technical architecture and low-level design.
Agile development and planning practices.
Ability to collaborate effectively in a large global team and influence key architectural decisions.

We Offer

Relocation options
Experience in an international environment
Cross-cultural experience
Feedback culture
Regular appraisals
Annual holiday - 20 or 26 days (depending on seniority)
Occasional leave - 1 or 2 days (depending on circumstances)
Child care leave - 2 days or 16 hours per year
Absence due to force majeure - 2 days or 16 hours per year
Maternity Leave - 20 weeks
Parental Leave - 41 weeks
Paternity Leave - 14 days
Expert-led tech courses
Internal instructor-led soft skills courses
Comprehensive in-house self-learning resources
Access to external self-learning libraries
Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
Custom Learning Programs: upskilling, reskilling, technical mentorship
Leadership Programs for Managers
Multisport card
LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners
Preferential banking offer
Preferential car leasing offer
Cafeteria program discounts
Luxoft Social Benefit Fund: sport and recreation benefits, financial support
Private Healthcare Insurance with unlimited access to specialists
Full dental support
Travel Insurance
Possibility to add private healthcare coverage for family members at the corporate rate
Life insurance at the corporate rate for employees and family members
Reimbursement for corrective glasses
Fun social activities organized by the Luxoft team
Workplace treated with respect within a multicultural team
Rotation between projects and accounts
New career opportunities

About the Company

The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.

Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.

**Options offered by the Polish government.

Senior Big Data Engineer (Spark/Scala/Java)

Tech Stack

Job Description, Responsibilities & Requirements